How can new approaches and technologies be applied to enhance the detection of threat materials and items that could harm transport systems?

Background

The improve transport for the user strategic priority is critical in ensuring the department delivers and maintains a transport system that meets the needs of the public and addresses what they care about most. It puts the needs and expectations of current and potential users (both passengers and freight customers) at the heart of the operation of the transport system and considers about end-to-end journeys, not just individual transport modes. It is focused on ensuring that our infrastructure and the services which use it meet the varied needs of businesses and the public, are attractive, affordable, sustainable, and resilient is a crucial goal for the department.

Next steps

Get in touch with bridgetoresearch@dft.gov.uk

Source

This question was published as part of the set of ARIs in this document:

DFT-Areas of research interest 2023 GOV UK

Related UKRI funded projects


  • ScanSpot: 3D-Modelling "Digital Twin" Data For New Insurance Products

    ScanSpot combines cutting-edge multi-modal sensor Light Detection And Ranging (LiDAR), thermal imaging and mmWave radar technology with machine-learning computer vision techniques to generate new risk classification data...

    Funded by: Innovate UK

    Lead research organisation: AEGIS ENERGY LTD

    Why might this be relevant?

    The project focuses on using advanced technologies to enhance detection of threat materials in transport systems, specifically in renewable energy and freight/logistics sectors.

  • ADAPT - Autonomous Detection And Prevention of Trespass

    The ADAPT (Autonomous Detection And Prevention of Trespass) autonomous trespass defeat system is produced by partners Archangel Imaging Ltd, Mandar Solutions Ltd and E-Bound AVX Ltd. The ADAPT project will demonstrate ho...

    Funded by: Innovate UK

    Lead research organisation: ARCHANGEL IMAGING LTD.

    Why might this be relevant?

    The ADAPT project demonstrates how AI-based systems and sensor technology can enhance the detection of threat materials and items that could harm transport systems.

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